ProDiff/run_test.sh

#!/bin/bash

# ===================================
# ProDiff 模型测试脚本
# ===================================

# 配置参数
EXP_NAME="trajectory_a40_temporal_optimized"
DEVICE_ID=0
SAMPLING_TYPE="ddpm"
MODEL_PATH="Experiments/trajectory_a40_temporal_optimized_TKY_temporal_len3_ddpm_20250724-102338"
MODEL_EPOCH=50
LOG_DIR="./test_logs"

# 创建日志目录
mkdir -p ${LOG_DIR}

# 获取当前时间戳用于日志文件命名
TIMESTAMP=$(date +"%Y%m%d_%H%M%S")
LOG_FILE="${LOG_DIR}/test_${EXP_NAME}_${TIMESTAMP}.log"

# 显示测试信息
echo "====================================="
echo "ProDiff 模型测试"
echo "====================================="
echo "实验名称: ${EXP_NAME}"
echo "模型路径: ${MODEL_PATH}"
echo "模型epoch: ${MODEL_EPOCH}"
echo "GPU设备: ${DEVICE_ID}"
echo "采样类型: ${SAMPLING_TYPE}"
echo "日志文件: ${LOG_FILE}"
echo "启动时间: $(date)"
echo "====================================="

# 检查GPU状态
echo "检查GPU状态..."
nvidia-smi

# 设置环境变量以优化A40性能
export CUDA_VISIBLE_DEVICES=${DEVICE_ID}
export PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:128
export OMP_NUM_THREADS=8

# 运行测试
echo "开始测试..."
python -u main.py \
    --exp_name ${EXP_NAME} \
    --device_id ${DEVICE_ID} \
    --sampling_type ${SAMPLING_TYPE} \
    --seed 42 \
    --mode test \
    --model_path ${MODEL_PATH} \
    --model_epoch ${MODEL_EPOCH} \
    2>&1 | tee ${LOG_FILE}

echo ""
echo "====================================="
echo "测试完成！"
echo "====================================="
echo "日志文件: ${LOG_FILE}"
echo "====================================="